Senior Data Engineer - AI Platforms

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.

Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.

We’ve been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years.

• 3x AWS AI/ML award wins.

• 3x NVIDIA Partner of the Year titles.

• 2x Snowflake Partner of the Year awards.

• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.

• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.

• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit:Websiteor LinkedIn Page.

Role:Senior Data Engineer - AI Platforms

Experience Level:7+ yrs

Work Location:US East/Canada (Remote)

Role Overview:

As a Senior Data Engineer, you will design and build scalable, production-grade data platforms and pipelines that power AI and analytics use cases. This role is highly hands-on and sits at the intersection of data engineering, AI enablement, and cloud platforms.

You will work closely with clients and internal stakeholders to build modern data ecosystems, with a strong focus on healthcare data and interoperability standards.

Key Responsibilities:

• Design and build scalable data pipelines (ETL/ELT) using modern data engineering frameworks

• Develop and optimize batch and real-time data processing systems

• Build and maintain data integration workflows across multiple systems and sources

• Ensure data quality, integrity, and reliability across the data lifecycle

• Work with large-scale structured and semi-structured datasets

• Optimize data pipelines for performance, scalability, and cost efficiency

• Collaborate with stakeholders to translate business needs into technical solutions

• Design and implement data models to support analytics and AI use cases

• Support healthcare data ingestion and transformation, including interoperability standards

• Maintain best practices for CI/CD, testing, and monitoring of data pipelines

Basic Qualifications:

• 7+ years of experience in Data Engineering or Data Platform development

• Strong hands-on experience with at least one of:

  • Python

  • SQL

  • PySpark

• Experience working with at least one of the following data platforms:

  • Snowflake

  • PostgreSQL

  • BigQuery

  • Amazon Redshift

• Experience building and maintaining data pipelines using one or more of:

  • ETL / ELT frameworks

  • dbt

  • Dataflow, Dataproc, EMR, or AWS Glue

• General data pipeline / data integration frameworks

• Strong SQL expertise (joins, window functions, performance tuning)

• Experience working with large-scale data processing systems

Other Qualifications (OQs):

• Experience with cloud platforms (AWS, GCP, or Azure)

• Familiarity with real-time or streaming data architectures

• Exposure to modern data stack tools and best practices

• Experience with data governance, data quality, and observability tools

• Strong communication skills and experience working with cross-functional teams

Domain Experience (Required):

• Experience working within Healthcare domain, specifically:

  • Healthcare providers or payer systems

  • Healthcare datasets (EHR/EMR)

• Familiarity with healthcare interoperability standards such as:

  • HL7 (v2 preferred)

  • FHIR (nice to have)

• Experience working with systems such as:

  • Epic (preferred)

  • Other clinical or healthcare data platforms

What’s in it for YOU at Quantiphi:

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.

• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.

• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.

• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.